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Field
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-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling in the open-source computational fluid dynamics
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statistics, physics, computer science, artificial intelligence, or a related quantitative field Experience with mathematical/statistical modeling and/or machine learning/Al methods Strong interest in
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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in the open-source computational fluid dynamics (CFD) code PDRFOAM. The work will be conducted in collaboration with other research projects on hydrogen safety at the department. The position offers a
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trajectory. About You You must be available to start mid-to-late 2025 Level A applicants are expected to have: A PhD (or be near completion) in engineering, applied mathematics, or computer science. Experience
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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field relevant to the interface of energy technology, economics, data science and public policy. Examples of relevant disciplines include (but are not limited to): any physical, mathematical, computer or
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, data science or mathematics OR a good Honours Degree and an appropriate professional qualification and/or membership PhD or active membership of an appropriate professional body is advantageous. Our
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hold a master's degree or equivalent education in weather and climate sciences, physical oceanography and meteorology, applied mathematics, energy, or equivalent, or must have submitted their master's
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young talent in condensed matter theory to engage in cutting-edge projects in the field of quantum computing broadly defined involving research groups within the NCCR SPIN. The ideal NCCR Fellow has just